
"""simple docstring"""




import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
   import optax
   from flax.training.common_utils import onehot

   from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
   from transformers.models.ta.modeling_flax_ta import shift_tokens_right

@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class 						a__		( unittest.TestCase		):
   @slow
   def      __magic_name__     (     self							):
          lowercase       :							int									=				FlaxMTaForConditionalGeneration.from_pretrained("google/mt5-small"							)
          lowercase       :							List[Any]									=				AutoTokenizer.from_pretrained("google/mt5-small"							)

          lowercase       :							Optional[int]									=				tokenizer("Hello there"      ,       return_tensors="np"							).input_ids
          lowercase       :							List[Any]									=				tokenizer("Hi I am"      ,       return_tensors="np"							).input_ids

          lowercase       :							Optional[int]									=				shift_tokens_right(__snake_case      ,       model.config.pad_token_id      ,       model.config.decoder_start_token_id							)

          lowercase       :							Optional[Any]									=				model(__snake_case      ,       decoder_input_ids=__snake_case							).logits
          lowercase       :							Tuple									=				optax.softmax_cross_entropy(__snake_case      ,       onehot(__snake_case      ,       logits.shape[-1]							)							).mean()

          lowercase       :							List[Any]									=				-(labels.shape[-1] * loss.item())

          lowercase       :							Optional[int]									=				-8_4.9_1_2_7
          self.assertTrue(abs(mtf_score - EXPECTED_SCORE							) < 1E-4							)






from __future__ import annotations

from math import pow, sqrt
def      UpperCAmelCase__		(UpperCamelCase_				,UpperCamelCase_				,UpperCamelCase_							):



     """simple docstring"""






     if (resistance, reactance, impedance).count(0							) != 1:
          raise ValueError('''One and only one argument must be 0'''							)
     if resistance == 0:
          return {"resistance": sqrt(pow(UpperCamelCase_				,2							) - pow(UpperCamelCase_				,2							)							)}
     elif reactance == 0:
          return {"reactance": sqrt(pow(UpperCamelCase_				,2							) - pow(UpperCamelCase_				,2							)							)}
     elif impedance == 0:
          return {"impedance": sqrt(pow(UpperCamelCase_				,2							) + pow(UpperCamelCase_				,2							)							)}
     else:
          raise ValueError('''Exactly one argument must be 0'''							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()




